Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 28 for “"Adaptive signal processing"”.
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Dispersive neural networks for adaptive signal processing
… networks can perform many tasks, including signal prediction, signal production, channel equalization, and spatio-temporal pattern recognition. For comparison with conventional techniques, a dispersive network was trained to predict future values of a chaotic signal using only its present …
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Accelerated gradient techniques and adaptive signal processing
… gradient techniques to various fields of adaptive signal processing. A variety of adaptive algorithms based on the accelerated gradient techniques are developed and analysed in terms of the convergence speed, computational complexity and numerical stability. Extensive simulation results …
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Underwater acoustic communications and adaptive signal processing
… underwater acoustic (UWA) wireless communication signals acquired in a real-world experiment as a tool for evaluating new coding and modulation schemes in realistic doubly spread UWA channels. This new approach, called passband data reuse, provides detailed procedures for testing the signals under …
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Structures and algorithms for two-dimensional adaptive signal processing
… structures and algorithms for two-dimensional adaptive signal processing. Applications in image and multichannel signal processing include 2-D adaptive differential pulse code modulation, interference cancellation, predictive coding, and noise suppression. Emphasis is placed both on FIR and IIR …
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Contributions to Robust Adaptive Signal Processing with Application to Space-Time Adaptive Radar
Classical adaptive signal processors typically utilize assumptions in their derivation. The presence of adequate Gaussian and independent and identically distributed (i.i.d.) input data are central among such assumptions. However, classical processors have a tendency to suffer a degradation in …
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The development and application of random matrix theory in adaptive signal processing in the sample deficient regime
This thesis studies the problems associated with adaptive signal processing in the sample deficient regime using random matrix theory. The scenarios in which the sample deficient regime arises include, among others, the cases where the number of observations available in a period over which the …
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The development and application of random matrix theory in adaptive signal processing in the sample deficient regime
This thesis studies the problems associated with adaptive signal processing in the sample deficient regime using random matrix theory. The scenarios in which the sample deficient regime arises include, among others, the cases where the number of observations available in a period over which the …
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Robust Implementations of the Multistage Wiener Filter
… in this dissertation addresses reduced rank adaptive signal processing, with specific emphasis on the multistage Wiener filter (MWF). The MWF is a generalization of the classical Wiener filter that performs a stage-by-stage decomposition based on orthogonal projections. Truncation of this …
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems
… examines the use of two time-frequency domain signal processing tools in its application to condition monitoring of electrical machine drive systems. The mathematical and signal processing tools which are explored are wavelet analysis and a non-stationary adaptive signal processing algorithm. …
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Adaptive Antenna Arrays Applied to Position Location
… wireless channel must be developed. The use of adaptive antenna arrays is one area that shows promise for improving capacity of wireless systems and providing improved safety through position location capabilities. These arrays can be used for interference rejection through spatial filtering, …
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A Calibration Method for a Controlled Reception Pattern Antenna and Software Defined Radio Configuration
… receiver front-end components for down-stream adaptive signal processing algorithms. For verification, the calibration data produced by the CRPA/SDR system configuration will be compared with calibration data produced using a traditional CRPA anechoic chamber test approach where each element of …
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FAST ALGORITHMS FOR SEPARATING AND TRACKING SOURCES IN ADAPTIVE ARRAYS
The use of adaptive array processing techniques to enhance desired directional signals and reject or detect unknown interferences is well known. However, many conventional algorithms still suffer from various limitations in enhancing directional signals and will not function properly in situations …
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Adaptive matched field processing in an uncertain propagation environment
Adaptive array processing algorithms have achieved widespread use because they are very effective at rejecting unwanted signals (i.e., controlling sidelobe levels) and in general have very good resolution (i.e., have narrow mainlobes). However, many adaptive high-resolution array processing …
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Robust Adaptive Signal Processors
Standard open loop linear adaptive signal processing algorithms derived from the least squares minimization criterion require estimates of the N-dimensional input interference and noise statistics. Often, estimated statistics are biased by contaminant data (such as outliers and non-stationary data) …
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Wireless Channel Equalization in Digital Communication Systems
… background for wireless channels modeling and adaptive signal processing are covered in first two chapters of dissertation.</p> <p>The approach of this thesis is not based on one methodology but several algorithms and configurations that are proposed and examined to fight the ISI problem. There …
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Non-contract Estimation of Respiration and Heartbeat Rate using Ultra-Wideband Signals
The use of ultra-wideband (UWB) signals holds great promise for remote monitoring of vital-signs which has applications in the medical, for first responder and in security. Previous research has shown the feasibility of a UWB-based radar system for respiratory and heartbeat rate estimation. Some …
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems
… variables behave typically as non-stationary signals. Therefore, it is difficult distinguishing fault conditions from normal operating conditions using steady-state analysis techniques. The most popular of these steady-state techniques employs the Fourier Transform as the analysis tool. …
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems
… variables behave typically as non-stationary signals. Therefore, it is difficult distinguishing fault conditions from normal operating conditions using steady-state analysis techniques. The most popular of these steady-state techniques employs the Fourier Transform as the analysis tool. …
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Robust Steering Vector Mismatch Techniques for Reduced Rank Adaptive Array Signal Processing
… is on the development of advanced reduced rank adaptive signal processing for airborne radar space-time adaptive processing (STAP) and steering vector mismatch robustness. This is an important area of research in the field of airborne radar signal processing since practical STAP algorithms …
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